Scholarlink

This study investigates tourists’ experiences with rural tourism in the Marrakech-Safi region using their online reviews. It seeks to identify the experiential components that shape these experiences and to compare recurring patterns across different segments of rural tourism offers. Methodologically, it applies Pine and Gilmore (1998) 4Es experiential framework in combination with a multi-agent large language model to analyze TripAdvisor reviews collected between 2008 and 2025. The results reveal that esthetic and educational experiences dominate tourists’ accounts, frequently occurring together and often intertwined with escapism. Entertainment plays a secondary role, typically appearing as a complementary element. Differences in the distribution of these experiential dimensions are observed across rural tourism segments, reflecting variations in the interplay between cultural, natural, and service-related attributes. This study introduces an innovative methodological approach that combines a well-established experiential framework with advanced artificial intelligence classification. It provides new insights for rural destination managers and local stakeholders into how rural tourism experiences are co-constructed and perceived. By revealing the experiential dimensions most valued by tourists, the study supports the design of more targeted development strategies, improved service delivery, and more coherent promotion.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Understanding Experiential Rural Tourism Through a Multi-Agent LLM: Evidence from Villages in the Marrakech-Safi Region, Morocco

  • 章节

  • 发表日期：

    2026年

查看全文
  • Abdellah Saoualih,
  • Larbi Safaa,
  • Aymane Malih,
  • Marc Bidan,
  • Omar Bencharef,
  • Walter Leal Filho

摘要

This study investigates tourists’ experiences with rural tourism in the Marrakech-Safi region using their online reviews. It seeks to identify the experiential components that shape these experiences and to compare recurring patterns across different segments of rural tourism offers. Methodologically, it applies Pine and Gilmore (1998) 4Es experiential framework in combination with a multi-agent large language model to analyze TripAdvisor reviews collected between 2008 and 2025. The results reveal that esthetic and educational experiences dominate tourists’ accounts, frequently occurring together and often intertwined with escapism. Entertainment plays a secondary role, typically appearing as a complementary element. Differences in the distribution of these experiential dimensions are observed across rural tourism segments, reflecting variations in the interplay between cultural, natural, and service-related attributes. This study introduces an innovative methodological approach that combines a well-established experiential framework with advanced artificial intelligence classification. It provides new insights for rural destination managers and local stakeholders into how rural tourism experiences are co-constructed and perceived. By revealing the experiential dimensions most valued by tourists, the study supports the design of more targeted development strategies, improved service delivery, and more coherent promotion.